which variables are staticically significant? how do they affect frequency of gi

Question

which variables are staticically significant?
how do they affect frequency of giving to the homeless?

Question 6 (10 points) Below are the results of a regression using GSS data. Individuals were asked how often they gave money to panhandlers. A number of independent variables were used, including the respondent's income, political ideology, race, education, age, and sex, as well as geographic variables such as the population size of the respondent's location. Coefficients 7.895 -.013 002* Independent Variables Intercept Income op. Size -.486 Conservatism -3.234* Race, White 076 Education -1.382 Gender, Male 047 Age 029 1190 p.05p.01 *p

Explanation / Answer

ANSWER:

From the given output only two namely X2(Population size) and X4 (Race,white) were the significant (p<0.01) independent predictors of the dependent variable.

The regression coefficients of the above two significant factors were 0.002 and -3.234

X2(Population size) was positively associated with frequency of giving to the homeless and X4 (Race,white) was inversely related with frequency of giving to the homeless

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